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An Approach to Parallelization of SIFT Algorithm on GPUs for Real-Time Applications

Journal of Computer and Communications 2016年第17期4卷 18-50页

作者： raghu raj prasanna kumar Suresh Muknahallipatna John McInroy Department of Electrical Engineering University of Wyoming Laramie USA

Scale Invariant Feature Transform (SIFT) algorithm is a widely used computer vision algorithm that detects and extracts local feature descriptors from images. SIFT is computationally intensive, making it infeasible for single threaded im-plementation to extract local feature descriptors for high-resolution images in real time. In this paper, an approach to parallelization of the SIFT algorithm is demonstrated using NVIDIA’s Graphics Processing Unit (GPU). The parallel-ization design for SIFT on GPUs is divided into two stages, a) Algorithm de-sign-generic design strategies which focuses on data and b) Implementation de-sign-architecture specific design strategies which focuses on optimally using GPU resources for maximum occupancy. Increasing memory latency hiding, eliminating branches and data blocking achieve a significant decrease in aver-age computational time. Furthermore, it is observed via Paraver tools that our approach to parallelization while optimizing for maximum occupancy allows GPU to execute memory bound SIFT algorithm at optimal levels.

关键词： Scale Invariant Feature Transform (SIFT) Parallel Computing GPU GPU Occupancy Portable Parallel Programming CUDA

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Real-Time Range of Motion Measurement of Physical Therapeutic Exercises

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Journal of Computer and Communications 2017年第9期5卷 19-42页

作者： raghu raj prasanna kumar Suresh Muknahallipatna John McInroy Mark McKenna Lori Franc National Center for Atmospheric Research Boulder CO USA Dept. of Electrical Engineering University of Wyoming Laramie WY USA Premier Bone & Joint Centers Laramie WY USA

Physical therapeutic exercise (PTE) is the planned process of performing bodily movements, postures, or physical activities to provide a patient with the ability to remediate or prevent impairments at a minimum. The efficacy of the PTE involves measuring accurately the range of motion (ROM) of joint functions and parameters that indicate the onset of fatigue, jerky motion, and muscle/joint resistance to the PTE. A physical therapist (PT) typically determines the efficacy of a PTE by measuring joint angles in clinical diagnosis to assess the ROM using the simple device Goniometer since motion capture systems are generally expensive, difficult to use, and currently not suited for real-time operations. The joint angle measurement using Goniometer suffers from low accuracy, low reliability and subjective. Furthermore, a patient when performing PTE by themselves at remote locations like their home or community centers cannot use a Goniometer to determine the efficacy. In this study, we present the approach of using an inexpensive, simple human motion capture system (HMCS) consisting of a single camera and a graphical processing unit (GPU) to perform the efficacy of the PTE in real-time. The approach involves the use of general purpose graphic processing unit (GPGPU) computer vision technique to track and record human motion and relate the tracked human motion to the prescribed physical therapy regimen in real-time. We have developed a tracking algorithm derived from the Klein’s algorithm known as the Modified Klein’s algorithm (MKA) capable of tracking human body parts while the original Klein’s algorithm was only capable of tracking objects with sharp edges. The MKA algorithm is further modified for parallel execution on a GPU to operate in real-time. Using the GPU, we are able to track multiple markers in a high definition (HD) frame of the HD video in 1.77 msecs achieving near real-time capability of ROM measurements. Furthermore, the error in the ROM measurements in

关键词： Computer vision Therapeutic Exercise GPU Parallel Programming

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Bidirectional link between diabetes mellitus and coronavirus disease 2019 leading to cardiovascular disease:A narrative review

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World Journal of Diabetes 2021年第3期12卷 215-237页

作者： Vijay Viswanathan Anudeep Puvvula Ankush D Jamthikar Luca Saba Amer M Johri Vasilios Kotsis Narendra N Khanna Surinder K Dhanjil Misha Majhail Durga prasanna Misra Vikas Agarwal George D Kitas Aditya M Sharma raghu Kolluri Subbaram Naidu Jasjit S Suri M Viswanathan Hospital for Diabetes M Viswanathan Diabetes Research CentreChennai 600013India Annu’s Hospitals for Skin and Diabetes Nellore 524101Andhra PradeshIndia Department of Electronics and Communications Visvesvaraya National Institute of TechnologyNagpur 440010MaharashtraIndia Department of Radiology University of CagliariMonserrato 09045CagliariItaly Department of Medicine Division of CardiologyQueen’s UniversityKingstonON K7L 3N6Canada 3rd Department of Internal Medicine Hypertension CenterPapageorgiou HospitalAristotle University of ThessalonikiThessaloniki 541-24Greece Department of Cardiology Indraprastha APOLLO HospitalsNew Delhi 110020India Stroke Diagnosis and Monitoring Division AtheroPoint™LLCCA 95661United States Stroke Diagnosis and Monitoring Division AtheroPoint™RosevilleCA 95661United States Department of Clinical Immunology and Rheumatology Sanjay Gandhi Postgraduate Institute of Medical SciencesLucknow 226014Uttar PradeshIndia Departments of Medicine Sanjay Gandhi Postgraduate Institute of Medical SciencesLucknow 226014Uttar PradeshIndia Academic Affairs Dudley Group NHS Foundation TrustDudley DY12HQUnited Kingdom Arthritis Research UK Epidemiology Unit Manchester UniversityManchester M139PLUnited Kingdom Division of Cardiovascular Medicine University of VirginiaCharlottesvilleVA 22908United States OhioHealth Heart and Vascular OhioOH 43082United States Electrical Engineering Department University of MinnesotaDuluthMN 55812United States

Coronavirus disease 2019(COVID-19)is a global pandemic where several comorbidities have been shown to have a significant effect on *** with diabetes mellitus(DM)have a higher mortality rate than non-DM patients if they get *** studies have indicated that patients with a history of diabetes can increase the risk of severe acute respiratory syndrome coronavirus 2 ***,patients without any history of diabetes can acquire newonset DM when infected with ***,there is a need to explore the bidirectional link between these two conditions,confirming the vicious loop between“DM/COVID-19”.This narrative review presents(1)the bidirectional association between the DM and COVID-19,(2)the manifestations of the DM/COVID-19 loop leading to cardiovascular disease,(3)an understanding of primary and secondary factors that influence mortality due to the DM/COVID-19 loop,(4)the role of vitamin-D in DM patients during COVID-19,and finally,(5)the monitoring tools for tracking atherosclerosis burden in DM patients during COVID-19 and“COVID-triggered DM”*** conclude that the bidirectional nature of DM/COVID-19 causes acceleration towards cardiovascular *** to this alarming condition,early monitoring of atherosclerotic burden is required in“Diabetes patients during COVID-19”or“new-onset Diabetes triggered by COVID-19 in Non-Diabetes patients”.

关键词： COVID-19 Diabetes mellitus Bidirectional association Cardiovascular disease Atherosclerotic burden Imaging tools

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